"""Seed data for splits.""" import datetime as dt split_seed_data = [ { "split_id": 1, "identifier": "ABCD1234", "split_rate": 0.1, "split_type_id": 1, "collaborator_id": 1, "rate_type": "NET", "created_date": dt.datetime.now(), }, { "split_id": 2, "identifier": "ABCD1234", "split_rate": 0.1, "split_type_id": 1, "collaborator_id": 2, "rate_type": "NET", "created_date": dt.datetime.now(), }, { "split_id": 3, "identifier": "12341234", "split_rate": 0.1, "split_type_id": 1, "collaborator_id": 1, "rate_type": "NET", "created_date": dt.datetime.now(), }, { "split_id": 4, "identifier": "12341234", "split_rate": 0.1, "split_type_id": 2, "collaborator_id": 2, "rate_type": "NET", "created_date": dt.datetime.now(), }, { "split_id": 5, "identifier": "12341234", "split_rate": 0.2, "split_type_id": 2, "collaborator_id": 1, "rate_type": "NET", "created_date": dt.datetime.now(), }, { "split_id": 6, "identifier": "12341234", "split_rate": 0.25, "split_type_id": 1, "collaborator_id": 4, "rate_type": "NET", "created_date": dt.datetime.now(), }, { "split_id": 7, "identifier": "12345", "split_rate": 0.2, "split_type_id": 2, "collaborator_id": 5, "rate_type": "NET", "created_date": dt.datetime.now(), }, { "split_id": 8, "identifier": "67890", "split_rate": 0.25, "split_type_id": 2, "collaborator_id": 5, "rate_type": "NET", "created_date": dt.datetime.now(), }, { "split_id": 1000, "identifier": "1", "split_rate": 0.25, "split_type_id": 2, "collaborator_id": 1, "rate_type": "NET", "created_date": dt.datetime.now(), }, ]